Triple

T4350471
Position Surface form Disambiguated ID Type / Status
Subject 1567–1569 Solomon Islands expedition E98010 entity
Predicate explored P1562 FINISHED
Object Malaita E66821 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malaita | Statement: [1567–1569 Solomon Islands expedition, explored, Malaita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaita
Context triple: [1567–1569 Solomon Islands expedition, explored, Malaita]
  • A. Malaita chosen
    Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
  • B. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • C. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • D. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • E. Makilala
    Makilala is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and proximity to Mount Apo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a840248190b88c8a7be9158d25 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb01fb0819083fbdd194b2a96f8 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:15 p.m.